Review
Computer Science, Artificial Intelligence
Mumtaz Karatas, Levent Eriskin, Muhammet Deveci, Dragan Pamucar, Harish Garg
Summary: Industry 4.0 and Big Data play a significant role in enhancing and optimizing healthcare operations.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Computer Science, Information Systems
N. N. Misra, Yash Dixit, Ahmad Al-Mallahi, Manreet Singh Bhullar, Rohit Upadhyay, Alex Martynenko
Summary: The Internet of Things (IoT), big data, and artificial intelligence (AI) have significantly impacted the agricultural and food industry, providing opportunities for monitoring, supply chain modernization, social media applications, food quality assessment, and food safety.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Senthil Kumar Jagatheesaperumal, Mohamed Rahouti, Kashif Ahmad, Ala Al-Fuqaha, Mohsen Guizani
Summary: This article provides a comprehensive overview of the application and challenges of AI and big data in Industry 4.0, focusing on key technologies, concepts, and research directions in smart manufacturing and modern industries.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Mohammad Hossein Chinaei, Hassan Habibi Gharakheili, Vijay Sivaraman
Summary: The verification of data generated by wearable sensors is a growing concern for health service providers and insurance companies. This article proposes a verification framework using blockchain technology to allow authorities to obtain verification services for IoT devices, with devices in proximity providing witnessing services. The use of blockchain technology ensures privacy and minimizes verification errors while controlling costs.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Samer Sawalha, Ghazi Al-Naymat
Summary: The importance of Internet of things (IoT) technology is increasing yearly, but it also faces challenges, particularly in data management. To address these challenges, a new data processing architecture is proposed, which optimizes data analysis performance and storage efficiency through lossless compression and data grouping.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Computer Science, Information Systems
Zhihan Lv, Ranran Lou, Jinhua Li, Amit Kumar Singh, Houbing Song
Summary: The research aims to improve the data analysis efficiency and access performance of large-scale IoT devices through big data analysis technology, and enhance system performance through node priorities and local data utilization. In addition, 6G technology and interference thresholds have a significant impact on the energy efficiency of data transmission.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Interdisciplinary Applications
Muhammad Faheem, Rizwan Aslam Butt, Rashid Ali, Basit Raza, Md Asri Ngadi, Vehbi Cagri Gungor
Summary: Industry 4.0 aims to produce high-quality products at low cost by quickly responding to changing demands, but the harsh indoor industrial environment poses challenges for data transmission. This paper proposes a data gathering approach called CBI4.0, which utilizes a multi-channel and multi-radio architecture to meet quality of service requirements. Simulation experiments show that the proposed scheme outperforms existing studies in controlling and monitoring events in the automobile Industry 4.0.
JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION
(2021)
Article
Mathematics, Interdisciplinary Applications
Haiye Qiu, Chang Liu, Xiaomin Zhang
Summary: This article proposes an intelligent system for formulating tennis player training schedules based on complex system big data. By studying the concepts of big data and complex systems, designing an intelligent system to formulate training plans, and analyzing through experiments, significant results have been achieved.
Article
Computer Science, Information Systems
Hasina Attaullah, Tehsin Kanwal, Adeel Anjum, Ghufran Ahmed, Suleman Khan, Danda B. Rawat, Rizwan Khan
Summary: The recent evolution of the Internet of Things in the healthcare sector has gained recognition from the government and industry. This article proposes a fuzzy logic-based intelligent privacy-aware algorithm to protect the privacy of individuals with multiple sensitive attributes in a dynamic data release scenario.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Review
Construction & Building Technology
Faris Elghaish, M. Reza Hosseini, Sandra Matarneh, Saeed Talebi, Song Wu, Igor Martek, Mani Poshdar, Nariman Ghodrati
Summary: The study examines the integration of Blockchain with the Internet of Things in engineering and construction industries, identifying both progress and limitations in related research. The concept of Blockchain of Things (BCoT) is introduced, highlighting its potential uses in the construction sector.
AUTOMATION IN CONSTRUCTION
(2021)
Article
Automation & Control Systems
Ashish Kumar Tripathi, Kapil Sharma, Manju Bala, Akshi Kumar, Varun G. Menon, Ali Kashif Bashir
Summary: This study introduces a novel clustering method based on metaheuristic and MapReduce to address big data problems. By leveraging the searching potential of military dog squad and utilizing the MapReduce architecture to handle large datasets, the optimization effectiveness is improved. Experimental results demonstrate that the new method outperforms other algorithms in terms of clustering accuracy and computation times.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Computer Science, Information Systems
Prakash Tekchandani, Indranil Pradhan, Ashok Kumar Das, Neeraj Kumar, Youngho Park
Summary: Smart devices in IoT generate big data through sensors, which is used for intelligent applications through machine learning. This requires data collection from devices to central servers for model training, but privacy and bandwidth limitations hinder the efficiency of centralized training. To address this, we propose a hybrid secure federated learning approach with blockchain for local device training and blockchain storage for traceability and immutability. A detailed analysis shows the approach's effectiveness in terms of security, resilience against attacks, and cost efficiency.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Theory & Methods
Fasee Ullah, Chi-Man Pun, Omprakash Kaiwartya, Ali Safaa Sadiq, Jaime Lloret, Mohammed Ali
Summary: This paper proposes a healthcare IoT data privacy trust management framework called HIDE, which encrypts and decrypts sensory data using patients' attributes to ensure data privacy in cloud storage. The framework also prevents data duplication by using intelligent object pointers and develops a content-based emergency data access control to monitor multiple patient health criticalities. Security analysis and experimental evaluation confirm the advantages of the proposed HIDE framework in terms of security and privacy metrics.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2023)
Article
Engineering, Electrical & Electronic
Lei Cao, Guangwei Liu, Yao Xu
Summary: Digital finance based on the Internet of Things (IoT) has strong penetration and integration capabilities, and the commercial circulation industry plays an irreplaceable role in the healthy development of the social economy. This study analyzes the integration development maturity using the Capability Maturity Model (CMM), and the results show that under the IoT mode, the integration development maturity is concentrated at a lower stage.
JOURNAL OF SENSORS
(2023)
Article
Engineering, Electrical & Electronic
Md Zia Ur Rahman, Sala Surekha, Krishna Prasad Satamraju, Shafi Shahsavar Mirza, Aime Lay-Ekuakille
Summary: The paper proposes a blockchain-based healthcare framework to address issues related to sensor data collection, monitoring, storage, and sharing in the healthcare industry. Utilizing IoMT devices and a Markov state chain for patient medical state monitoring, the framework utilizes Ethereum permissioned blockchain for access control and data security.
IEEE SENSORS JOURNAL
(2021)
Review
Materials Science, Multidisciplinary
Danka Labus Zlatanovic, Jean Pierre Bergmann, Sebastian Balos, Joerg Hildebrand, Mirjana Bojanic-Sejat, Saurav Goel
Summary: This review provides new insights into the behavior of residual oxides in solid-state weld joints of aluminium alloys. It addresses the influence of oxides on the aluminium surface before and during welding, their impact on the weld structure, and possible solutions for reducing this impact. The relevant solid-state techniques for the transportation sector, namely diffusion bonding, friction stir spot welding, and ultrasonic welding, are surveyed, analyzed, and reviewed. The presence of oxides on the aluminium substrate and its implication on the metallurgical characteristics of the weld joints are reviewed. Visible defects such as voids, delamination, kissing bond, and hook defects, as well as the problems associated with these defects, are analyzed, and suggestions are made to partially overcome these issues.
SCIENCE AND TECHNOLOGY OF WELDING AND JOINING
(2023)
Editorial Material
Nanoscience & Nanotechnology
Jaya Verma, Saurav Goel
Summary: Functional coatings provide durability and their functional response is influenced by the environment, such as temperature, pH, moisture, active ions, or mechanical stresses. Efforts have been made to achieve multi-functionality within a single coating, combining appropriate materials and nanopatterns. This article focuses on the design specifications, fabrication methods, and case studies of functional coatings, particularly in anti-corrosion and self-cleaning applications.
Review
Oncology
Jaya Verma, Caaisha Warsame, Rajkumar Kottayasamy Seenivasagam, Nirmal Kumar Katiyar, Eiman Aleem, Saurav Goel
Summary: Cancer is the second leading cause of death globally, claiming nearly 10 million lives in 2020. Common types of cancer include breast, lung, colon and rectum, prostate, skin (non-melanoma), and stomach cancer. Traditional treatments like radiotherapy and chemotherapy have limitations in distinguishing between normal and malignant cells. The use of nanoparticles may provide a precise and targeted approach for cancer treatment.
CANCER AND METASTASIS REVIEWS
(2023)
Article
Chemistry, Physical
Andrei Shishkin, Vitalijs Abramovskis, Ilmars Zalite, Ashish Kumar Singh, Gundars Mezinskis, Vladimir Popov, Jurijs Ozolins
Summary: This study investigates the physical, chemical, and thermal properties of cenospheres from three different sources. The particle size distribution was most uniform in CS2, and the density of all samples was similar. CS3 had the highest Si content and also contained Fe2O3 and K2O. CS1 and CS2 did not sinter up to 1200℃, while CS3 sintered at 1100℃. For application in spark plasma sintering, CS2 is the most suitable choice.
Article
Engineering, Manufacturing
Pengfei Fan, Nirmal Kumar Katiyar, Saurav Goel, Yang He, Yanquan Geng, Yongda Yan, Hui Mao, Xichun Luo
Summary: This paper explores the effects of oblique nanomachining on GaAs machining quality, plasticity, and transport phenomena using atomic scale machining experiments and simulations. The study finds that under oblique cutting conditions, there is an early avalanche of dislocations, lower coefficient of friction, and higher specific cutting energy compared to orthogonal cutting. Through high-resolution transmission electron microscopy examination, it is revealed that plasticity during nanometric cutting of GaAs is facilitated by shuffle-set slip on the {1 1 1} slip system due to the 1 1 0 type dislocation. Overall, oblique cutting is inferred to be the optimal condition for high-quality wafer nanofabrication using an AFM.
JOURNAL OF MANUFACTURING PROCESSES
(2023)
Review
Materials Science, Multidisciplinary
Viswanathan Venkatachalapathy, Nirmal Kumar Katiyar, Allan Matthews, Jose Luis Endrino, Saurav Goel
Summary: Currently, thermal spray coating service providers rely on OEMs to suggest the coating recipe and parameters, but a systematic framework for parameter optimization is lacking. This article presents a logical framework for selecting the right process parameters in thermal spraying, minimizing iterations and achieving efficient coating deposition. It serves as a guide for early career engineers and scientists to reduce processing time and transform academic research to industrial manufacturing.
Article
Materials Science, Multidisciplinary
T. L. Dora, Ayush Owhal, Tribeni Roy, Sachin U. Belgamwar, Saurav Goel, Hamed Yazdani Nezhad, Radha Raman Mishra
Summary: This article uses molecular dynamics simulations to investigate the atomistic response of 3C-SiC during microwave heating. By simulating at different electric field strengths and frequencies, a numerical relationship between temperature and time is developed to predict the thermal response of 3C-SiC. The physical characteristics of 3C-SiC are determined by analyzing the plots of mean square displacement, time, and diffusion coefficients. The results show that at 0.5V/Å and 500 GHz, the diffusion coefficient increases by 88% compared to 0.1V/Å at 500 GHz, and a 75% change in the physical phase of 3C-SiC structure is confirmed by the distorted density distribution profile.
MATERIALS TODAY COMMUNICATIONS
(2023)
Article
Medicine, General & Internal
E. A. Panacheva, E. Kudryavtseva, D. L. Zornikov, E. E. Plotko, V. M. Petrov, E. S. Voroshilina
Summary: Developing a mathematical model for predicting good and excellent quality embryos based on semen microbiota assessment in normozoospermia can help improve the success rate of assisted reproductive technologies.
BULLETIN OF RUSSIAN STATE MEDICAL UNIVERSITY
(2023)
Review
Engineering, Mechanical
German Fox-Rabinovich, Iosif Gershman, Saurav Goel, Jose Luis Endrino
Summary: This paper analyzes the multiscale self-organization processes during cutting and reveals several channels of reducing entropy production through self-organization. These processes include self-organization during PVD coating deposition, tribofilm formation during operation, and multiscale self-organization processes on the tool surface. In-depth knowledge of these processes can enhance the wear resistance of coated cutting tools by applying complex adaptive surface-engineered systems and high entropy alloy coatings.
Article
Materials Science, Multidisciplinary
Jiahuan Wang, Zewei Tang, Saurav Goel, Yu Zhou, Yanfei Dai, Jinhu Wang, Qiankun He, Julong Yuan, Binghai Lyu
Summary: This study proposes a novel 'chemistry enhanced shear thickening polishing' (C-STP) process using Fenton's reagent to achieve sub 10 nm finished polishing at a rate twice that of conventional STP for complex-shaped cemented carbide components. The concentration of Fenton's reagent was found to have an influence on the material removal rate but not on the surface roughness. Electrochemical experiments showed that Fenton's reagent could effectively reduce the corrosion resistance of tungsten carbide-cobalt alloy.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2023)
Review
Engineering, Multidisciplinary
Ismail Fidan, Orkhan Huseynov, Mohammad Alshaikh Ali, Suhas Alkunte, Mithila Rajeshirke, Ankit Gupta, Seymur Hasanov, Khalid Tantawi, Evren Yasa, Oguzhan Yilmaz, Jennifer Loy, Vladimir Popov, Ankit Sharma
Summary: This paper summarizes recent inventions in the field of Additive Manufacturing (AM), including factors affecting their development and commercialization, breakthroughs in materials and AM technologies, and their integration with emerging technologies. It explores the impact of AM in various sectors since the 1970s and discusses challenges and future directions, such as hybrid manufacturing and bio-printing, as well as socio-economic and environmental implications. This collaborative study provides a concise understanding of the latest inventions in AM, offering valuable insights for researchers, practitioners, and decision makers in diverse industries and institutions.
Article
Chemistry, Multidisciplinary
Bidesh Mondal, Xiaolei Zhang, Sumit Kumar, Feng Long, Nirmal Kumar Katiyar, Mahesh Kumar, Saurav Goel, Krishanu Biswas
Summary: The demand for carbon-free energy sources has made the use of hydrogen (H2) gas increasingly important, but its explosive nature raises safety concerns. Researchers have developed a hydrogen gas detection sensor using high-entropy alloy nanoparticles, which shows high selectivity and sensitivity. By decorating the 2D MoS2 surface with these nanoparticles, the sensor can effectively adsorb and dissociate H2 gas, thereby improving its performance.
Article
Chemistry, Physical
Chetna Madan, Saumya R. Jha, Nirmal Kumar Katiyar, Arkaj Singh, Rahul Mitra, Chandra Sekhar Tiwary, Krishanu Biswas, Aditi Halder
Summary: This study reports a new high entropy alloy material that exhibits good electrocatalytic performance in zinc-air batteries. By adjusting the electronic and chemical properties of the material, the round-trip efficiency and stability of zinc-air batteries can be improved.
